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Comparator-adaptive Convex Bandits

Comparator-adaptive Convex Bandits

16 July 2020
Dirk van der Hoeven
Ashok Cutkosky
Haipeng Luo
ArXiv (abs)PDFHTML

Papers citing "Comparator-adaptive Convex Bandits"

5 / 5 papers shown
Title
Best of Both Worlds: Regret Minimization versus Minimax Play
Best of Both Worlds: Regret Minimization versus Minimax Play
Adrian Müller
Jon Schneider
Stratis Skoulakis
Luca Viano
Volkan Cevher
OffRL
37
0
0
17 Feb 2025
State-free Reinforcement Learning
State-free Reinforcement Learning
Mingyu Chen
Aldo Pacchiano
Xuezhou Zhang
110
0
0
27 Sep 2024
Improved Regret for Bandit Convex Optimization with Delayed Feedback
Improved Regret for Bandit Convex Optimization with Delayed Feedback
Yuanyu Wan
Chang Yao
Mingli Song
Lijun Zhang
68
3
0
14 Feb 2024
Corralling a Larger Band of Bandits: A Case Study on Switching Regret
  for Linear Bandits
Corralling a Larger Band of Bandits: A Case Study on Switching Regret for Linear Bandits
Haipeng Luo
Mengxiao Zhang
Peng Zhao
Zhi Zhou
84
17
0
12 Feb 2022
Distributed Online Learning for Joint Regret with Communication
  Constraints
Distributed Online Learning for Joint Regret with Communication Constraints
Dirk van der Hoeven
Hédi Hadiji
T. Erven
74
5
0
15 Feb 2021
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